The Enhancement of the Interaction Ability of Robot Perception and Decision-making through Artificial Intelligence from the Perspective of Nonlinear Control Systems

Abstract

Based on the theory of nonlinear control systems, this paper explores how artificial intelligence can enhance the perception, decision-making and interaction ability of robots. Under the framework of nonlinear control systems, robots will encounter many challenges brought by complex environment, and joining artificial intelligence can help us solve these problems. By analyzing the specific applications of artificial intelligence in perception, decision-making and interaction, we find that it can make robots better adapt to complex environment, improve the accuracy and speed of decision-making, and make people interact with robots more natural and efficient. This provides theoretical support and application reference for the development of robot technology.